{"id":"W4308735330","doi":"10.1038/s41587-022-01542-5","title":"Third-quarter biotech job picture","year":2022,"lang":"en","type":"article","venue":"Nature Biotechnology","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Business; Job creation; Biotechnology; Biology; Economics; Labour economics; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006548217,0.0003280878,0.0002342535,0.0007543302,0.002821915,0.003714472,0.0006870218,0.002270382,0.1742581],"category_scores_gemma":[0.001019379,0.0001325909,0.0002520747,0.000747957,0.0004192327,0.0013837,0.001409797,0.002371664,0.07203998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001859024,"about_ca_system_score_gemma":0.003621257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01754869,"about_ca_topic_score_gemma":0.03713025,"domain_scores_codex":[0.9994686,0.00002243212,0.000009990162,0.0000398955,0.0002396951,0.000219316],"domain_scores_gemma":[0.9986595,0.00004584254,0.00003605673,0.00002906508,0.0002993429,0.0009301775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007670805,0.00003522543,0.0008055108,0.00002766474,0.000001007552,0.0000713397,0.00007851343,0.00003976162,0.0004161418,0.003222272,0.9803105,0.01491528],"study_design_scores_gemma":[0.00001629918,0.00003159435,0.01044918,0.00003133402,0.000001215283,0.00006546439,0.0009829897,0.00011488,0.0002319914,0.0009488956,0.9871171,0.000009045003],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0256747,0.002021113,0.0007656469,0.2045463,0.02889632,0.00008954786,0.009821711,0.000772793,0.7274118],"genre_scores_gemma":[0.03168567,0.0007196182,0.0001685567,0.01472691,0.00158162,0.00003293375,0.002073984,0.0001273181,0.9488835],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1742581,"threshold_uncertainty_score":0.5829514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003758536114100733,"score_gpt":0.2343762253824443,"score_spread":0.2306176892683436,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}